Adaptive placement of the pseudo-boundaries improves the conditioning of the inverse problem
Mostra el registre complet Registre parcial de l'ítem
- dc.contributor.author Chamorro Servent, Juditca
- dc.contributor.author Bear, Lauraca
- dc.contributor.author Duchateau, Josselinca
- dc.contributor.author Dallet, Corentinca
- dc.contributor.author Coudière, Yvesca
- dc.contributor.author Dubois, Rémica
- dc.date.accessioned 2018-05-09T16:45:54Z
- dc.date.available 2018-05-09T16:45:54Z
- dc.date.issued 2016
- dc.description.abstract Meshing the heart and measurement surfaces can be time consuming, especially when dealing with complicated geometries or cardiac motion. To overcome this, a meshless method based on the method of fundamental solutions (MFS) has been adapted to non-invasive electrocardiographic imaging (ECGI). In the MFS, potentials are expressed as a summation over a discrete set of virtual point sources placed outside of the domain of interest (named ‘pseudo-boundary’). It is well-known that optimal placement of the pseudoboundary can improve the efficacy of the MFS. Despite this, there have been no attempts to optimize their placement in the ECGI problem as far as we are aware. In the standard MFS, the sources are placed in two pseudo-boundaries constructed by inflating and deflating the heart and torso surfaces with respect to the geometric center of the heart. However, for some heart-torso geometries, this geometric center is a poor reference. We here show that adaptive placement of the pseudoboundaries (depending on the distance between the torso electrodes and the nearest heart locations) improves the conditioning of the inverse problem, making it less sensitive to the regularization process.en
- dc.description.sponsorship This study received financial support from the French Government as part of the “Investments of the Future” program managed by the National Research Agency (ANR), Grant reference ANR-10-IAHU-04 and from the Conseil Régional Aquitaine as part of the project “Assimilation de données en cancérologie et cardiologie”.en
- dc.format.mimetype application/pdfca
- dc.identifier.citation Chamorro Servent J, Bear L, Duchateau J, Dallet C, Coudière Y, Dubois R. Adaptive placement of the pseudo-boundaries improves the conditioning of the inverse problem. Comput Cardiol. 2016;43:705-8. DOI: 10.22489/CinC.2016.206-294
- dc.identifier.doi http://dx.doi.org/10.22489/CinC.2016.206-294
- dc.identifier.issn 2325-8861
- dc.identifier.uri http://hdl.handle.net/10230/34601
- dc.language.iso eng
- dc.publisher Computing in Cardiologyca
- dc.relation.ispartof Computing in Cardiology. 2016;43:705-8.
- dc.rights Licensed by their authors under the Creative Commons Attribution License 2.5 (CCAL).
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri http://creativecommons.org/licenses/by/2.5/
- dc.title Adaptive placement of the pseudo-boundaries improves the conditioning of the inverse problemca
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/publishedVersion